Real Time Visual Recognition of Indian Sign Language using Wavelet Transform and Principle Component Analysis
Dipali Rojasara1, Nehal Chitaliya2
1Ms. Dipali Rojasara, P.G. Scholar (E&C dept.), Sardar Vallabhbhai Patel Institute of Technology (SVIT), Vasad, India.
2Dr. Nehal G. Chitaliya, Associate Prof.(E&C dept.) , Sardar Vallabhbhai Patel Institute of Technology (SVIT), Vasad, India.
Manuscript received on June 25, 2014. | Revised Manuscript received on July 03, 2014. | Manuscript published on July 05, 2014. | PP: 17-20| Volume-4, Issue-3, July 2014. | Retrieval Number: C2274074314/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Sign language is a mean of communication among the deaf people. Indian sign language is used by deaf for communication purpose in India. Here in this paper, we have proposed a system using Euclidean distance as a classification technique for recognition of various Signs of Indian sign Language. The system comprises of four parts: Image acquisition ,pre processing, Feature Extraction and Classification. 31 signs including A to Z alphabets & one to five numbers were considered in this paper.
Keywords: Indian Sign Language (ISL), Principle Component Analysis (PCA), Sign Language Recognition (SLR)